Ambient-pressure selective hydrogenation of unsaturated aldehydes and ketones into unsaturated alcohols in the water phase.

A universal and green catalytic system for the hydrogenation of unsaturated aldehydes and ketones into the corresponding alcohols with the CC bonds retained under atmospheric hydrogen pressure in the water phase was realized by -functionalized amino ligand-stabilized ruthenium complexes (-PPhCHNHMe)[(CHNHR)]RuCl (R = H, Me, Et) and (-PPhCHNMe)[(CHNHEt)]RuCl with wide substrate compatibility and excellent functionality tolerance. The structural synergism between -PPhCHNHMe and (CHNHEt) achieves the enhanced performance, with a positive correlation with the electron density of the amino ligand.

Efficient hydrogenation of ketones over the diaminophosphino manganese complex.

Herein, we synthesized new manganese(I) complexes coordinated with the tetradentate ligand PNNP. The complexes show higher activity and excellent substituent tolerance in contrast to their manganese counterparts and are applicable in the hydrogenation of a wide range of aromatic, aliphatic and heterocyclic ketones to their corresponding alcohols.

CHARACTERISTICS OF 'NOTCH' IN RETINOPATHY OF PREMATURITY FOLLOWING INTRAVITREAL RANIBIZUMAB MONOTHERAPY.

Purpose: To explore the clinical features and significance of "notch" in reactivation of retinopathy of prematurity (ROP) post-intravitreal ranibizumab (IVR) monotherapy.

Methods: Ninety-six infants (173 eyes) with type 1 or aggressive ROP (A-ROP) post-IVR monotherapy were retrospectively analyzed; 51 eyes were notch (+) and 122 eyes were notch (-). General demographics and clinical outcomes were compared by notch status for type 1 and A-ROP.

Temozolomide alleviates breast carcinoma via the inhibition of EGFR/ERK/ MMP-1 pathway with induction of apoptotic events.

Purpose: To evaluate the chemotherapeutic activity of temozolomide counter to mammary carcinoma.

Methods: In-vitro anticancer activity has been conducted on MCF7 cells, and mammary carcinoma has been induced in Wistar rats by introduction of 7, 12-Dimethylbenz(a)anthracene (DMBA), which was sustained for 24 weeks. Histopathology, immunohistochemistry, cell proliferation study and apoptosis assay via TUNEL method was conducted to evaluate an antineoplastic activity of temozolomide in rat breast tissue.

High-Performance Sub-10 nm Two-Dimensional SbSeBr Transistors through Transport Orientation.

Exploring two-dimensional (2D) materials with a small carrier effective mass and suitable band gap is crucial for the design of metal oxide semiconductor field effect transistors (MOSFETs). Here, the quantum transport properties of stable 2D SbSeBr are simulated on the basis of first-principles calculations. Monolayer SbSeBr proves to be a competitive channel material, offering a suitable band gap of 1.

Age-related differences in saccadic indices of top-down guidance via short-term memory during visual search.

Aging has been associated with significant declines in the speed and accuracy of visual search. These effects have been attributed partly to low-level (bottom-up) factors including reductions in sensory acuity and general processing speed. Aging is also associated with changes in top-down attentional control, but the impact of these on search is less well-understood.

Identification and Validation of Lipid Metabolism Gene FASN-Associated miRNA in Wilms Tumor.

miRNA has been a research hotspot in recent years and its scope of action is very wide, involving the regulation of cell proliferation, differentiation, apoptosis, and other biological behaviors. This study intends to explore the role of miRNA in the lipid metabolism and development of Wilms tumor (WT) by detecting and analyzing the differences in the expression profiles of miRNAs between the tumor and adjacent normal tissue. Gene detection was performed in tumor tissues and adjacent normal tissues of three cases of WT to screen differentially expressed miRNAs (DEMs).

Molecular dynamics simulation of the amorphous graphite-like membrane deposited on ideal graphite substrate.

To understand the growth mechanism of pyrolytic graphite on ideal graphite substrate by chemical vapor deposition (CVD), the process simulated by molecular dynamics is performed. The simulation revealed that only an amorphous graphite-like membrane (a-GLM) can be obtained using the Tersoff potential function. It is revealed that the formation process for the first layer of the a-GLM initiates from the firstly deposited carbon monomers, dimers, and trimers as growth points, on which Y-shaped long chain is formed, and then the network with pores are developed, and finally the graphene-like layer with six-membered dominated rings appears after repair treatment.

Causal relationship between Alzheimer's disease and cardiovascular disease: a bidirectional Mendelian randomization analysis.

Observational studies suggest that cardiovascular disease (CVD) increases the risk of developing Alzheimer's disease (AD). However, the causal relationship between the two is not clear. This study applied a two-sample bidirectional Mendelian randomization method to explore the causal relationship between CVD and AD.

Causality between heart failure and epigenetic age: a bidirectional Mendelian randomization study.

Aims: Heart failure (HF) is a prevalent age-related cardiovascular disease with poor prognosis in the elderly population. This study aimed to establish the causal relationship between ageing and HF by conducting a bidirectional Mendelian randomization (MR) analysis on epigenetic age (a marker of ageing) and HF.

Methods And Results: Genome-wide association study data for epigenetic age (GrimAge, HorvathAge, HannumAge, and PhenoAge) and HF were collected and assessed for significant genetic variables.

A bioinformatics approach to identifying the biomarkers and pathogenesis of major depressive disorder combined with acute myocardial infarction.

This study investigated the pathogenesis of major depressive disorder (MDD) and acute myocardial infarction (AMI) using bioinformatics. We analyzed MDD and AMI (MDD-AMI) datasets provided by the Gene Expression Omnibus (GEO) database for genes common to MDD and AMI using GEO2R and weighted gene co-expression network analysis (WGCNA). We also performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and we used Disease Ontology (DO) analysis to identify a) the pathways through which genes function and b) comorbidities.

A 4-lineage Statistical Suite to Evaluate the Support of Large-Scale Retrotransposon Insertion Data to Reconstruct Evolutionary Trees.

Retrophylogenomics makes use of genome-wide retrotransposon presence/absence insertion patterns to resolve questions in phylogeny and population genetics. In the genomics era, evaluating high-throughput data requires the associated development of appropriately powerful statistical tools. The currently used KKSC 3-lineage statistical test for estimating the significance of retrophylogenomic data is limited by the number of possible tree topologies it can assess in one step.

Causal association of epigenetic aging and COVID-19 severity and susceptibility: A bidirectional Mendelian randomization study.

Observational data from China, the United States, France, and Italy suggest that chronological age is an adverse COVID-19 outcome risk factor, with older patients having a higher severity and mortality rate than younger patients. Most studies have gotten the same view. However, the role of aging in COVID-19 adverse effects is unclear.

Machine learning and bioinformatics to identify 8 autophagy-related biomarkers and construct gene regulatory networks in dilated cardiomyopathy.

Dilated cardiomyopathy (DCM) is a condition of impaired ventricular remodeling and systolic diastole that is often complicated by arrhythmias and heart failure with a poor prognosis. This study attempted to identify autophagy-related genes (ARGs) with diagnostic biomarkers of DCM using machine learning and bioinformatics approaches. Differential analysis of whole gene microarray data of DCM from the Gene Expression Omnibus (GEO) database was performed using the NetworkAnalyst 3.

ExoPLOT: Representation of alternative splicing in human tissues and developmental stages with transposed element (TE) involvement.

Advances in RNA high-throughput sequencing and large-scale functional assays yield new insights into the multifaceted activities of transposed elements (TE) and many other previously undiscovered sequence elements. Currently, no tool for easy access, analysis, quantification, and visualization of alternatively spliced exons across multiple tissues or developmental stages is available. Also, analysis pipelines demand computational skills or hardware requirements, which often are hard to meet by wet-lab scientists.

Identification of critical genes and molecular pathways in COVID-19 myocarditis and constructing gene regulatory networks by bioinformatic analysis.

Background: There is growing evidence of a strong relationship between COVID-19 and myocarditis. However, there are few bioinformatics-based analyses of critical genes and the mechanisms related to COVID-19 Myocarditis. This study aimed to identify critical genes related to COVID-19 Myocarditis by bioinformatic methods, explore the biological mechanisms and gene regulatory networks, and probe related drugs.

The Effects of Sn Doping MnNiFeO NTC Ceramic: Preparation, Microstructure and Electrical Properties.

Sn-doped MnNiFeO ceramic with negative temperature coefficient (NTC) was prepared through the low-temperature solid-phase reaction route (LTSPR), aiming at improving the sintering behavior and modulating the electrical properties. The experimental results of the ceramic powder precursor indicate that the calcination of the ceramic precursors at above ~300 °C is an exothermic process, which contributes to the transition of the ceramic powder from the amorphous phase into the crystal spinel phase; the spinel phase of ceramic powders can be formed initially at ~450 °C and well-formed at ~750 °C. A high densification of ~98% relative densities and evenly distributed grains within an average size of 2~12 μm for the sintered Sn-doped specimen were obtained.

Dengue Risk Forecast with Mosquito Vector: A Multicomponent Fusion Approach Based on Spatiotemporal Analysis.

Dengue as an acute infectious disease threatens global public health and has sparked broad research interest. However, existing studies generally ignore the spatial dependencies involved in dengue forecast, and consideration of temporal periodicity is absent. In this work, we propose a spatiotemporal component fusion model (STCFM) to solve the dengue risk forecast issue.

Artificial intelligence-based CT metrics used in predicting clinical outcome of COVID-19 in young and middle-aged adults.

Background: Currently, most researchers mainly analyzed coronavirus disease 2019 (COVID-19) pneumonia visually or qualitatively, probably somewhat time-consuming and not precise enough.

Purpose: This study aimed to excavate more information, such as differences in distribution, density, and severity of pneumonia lesions between males and females in a specific age group using artificial intelligence (AI)-based computed tomography (CT) metrics. Besides, these metrics were incorporated into a clinical regression model to predict the short-term outcome.

Efficacy evaluation of intravitreal ranibizumab therapy for three types of retinopathy of prematurity.

Aim: To evaluate efficacy of intravitreal ranibizumab (IVR) therapy for aggressive posterior retinopathy of prematurity (ROP), threshold ROP disease and type 1 pre-threshold ROP.

Methods: A retrospective analysis was performed on 40 patients (76 eyes) who had IVR as the primary treatment for ROP from April 2017 to January 2018. According to disease pathogenic features, the 76 eyes were divided into three groups: aggressive posterior ROP (AP-ROP) group (16 eyes), threshold ROP group (28 eyes) and type 1 pre-threshold ROP group (32 eyes).

Sequence coverage required for accurate genotyping by sequencing in polyploid species.

Polyploidy plays an important role in the evolution of eukaryotes, especially for flowering plants. Many of ecologically or agronomically important plant or crop species are polyploids, including sycamore maple (tetraploid), the world second and third largest food crops wheat (hexaploid) and potato (tetraploid) as well as economically important aquaculture animals such as Atlantic salmon and trout. The next generation sequencing data enables to allocate genotype at a sequence variant site, known as genotyping by sequencing (GBS).

Application of machine learning in CT images and X-rays of COVID-19 pneumonia.

Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed tomography (CT) are 2 technologies widely used in image acquisition, segmentation, diagnosis, and evaluation. Artificial intelligence can accurately segment infected parts in X-ray and CT images, assist doctors in improving diagnosis efficiency, and facilitate the subsequent assessment of the severity of the patient infection.

Sampling Variation of RAD-Seq Data from Diploid and Tetraploid Potato ( L.).

The new sequencing technology enables identification of genome-wide sequence-based variants at a population level and a competitively low cost. The sequence variant-based molecular markers have motivated enormous interest in population and quantitative genetic analyses. Generation of the sequence data involves a sophisticated experimental process embedded with rich non-biological variation.

Genome Duplication Increases Meiotic Recombination Frequency: A Saccharomyces cerevisiae Model.

Genetic recombination characterized by reciprocal exchange of genes on paired homologous chromosomes is the most prominent event in meiosis of almost all sexually reproductive organisms. It contributes to genome stability by ensuring the balanced segregation of paired homologs in meiosis, and it is also the major driving factor in generating genetic variation for natural and artificial selection. Meiotic recombination is subjected to the control of a highly stringent and complex regulating process and meiotic recombination frequency (MRF) may be affected by biological and abiotic factors such as sex, gene density, nucleotide content, and chemical/temperature treatments, having motivated tremendous researches for artificially manipulating MRF.

The multicomparative 2-n-way genome suite.

To effectively analyze the increasing amounts of available genomic data, improved comparative analytical tools that are accessible to and applicable by a broad scientific community are essential. We built the "2-n-way" software suite to provide a fundamental and innovative processing framework for revealing and comparing inserted elements among various genomes. The suite comprises two user-friendly web-based modules.